Himanshu Shekhar

Nothing’s Bengaluru flagship store has drawn over 61,000 visitors and $1.3M in revenue within 3 months, signaling the brand’s growing influence in India. With Incognito-style retail design, surging demand for the Nothing Phone (4a), and the launch of CMF Watch 3 Pro, Nothing is betting big.

The notification was issued in compliance with a Calcutta High Court order of May 2024, which struck down the OBC status of several communities in West Bengal, calling it illegal.

Accurate prediction of mortality in critically ill patients admitted to the ICU is essential for clinical decision-making and resource allocation. Conventional scoring systems such as Acute Physiology and Chronic Health Evaluation (APACHE), Sequential Organ Failure Assessment (SOFA), and Simplified Acute Physiology Score (SAPS) are widely used but are limited by their static structure and linear assumptions. Artificial intelligence (AI)-based models offer more flexible, data-driven approaches; however, their comparative performance remains uncertain. This systematic review evaluated the performance of AI-based models compared with conventional ICU scoring systems for predicting in-hospital mortality.A systematic search of PubMed, the Excerpta Medica database (Embase), Web of Science, and Scopus was conducted from January 2015 to August 2025. Based on predefined eligibility criteria, studies comparing AI-based models with conventional scoring systems and reporting performance metrics such as area under the receiver operating characteristic curve (AUC), sensitivity, or specificity were included. Risk of bias was assessed using the Prediction model Risk Of Bias ASsessment Tool (PROBAST; Cochrane Prognosis Methods Group and the PROBAST Steering Group, University of Bristol, Bristol, United Kingdom, and collaborating international experts under the Cochrane Collaboration). A descriptive synthesis of discriminative performance was performed, along with a quantitative diagnostic test accuracy synthesis using a bivariate random-effects (Reitsma) model. Exploratory subgroup analyses using inverse variance-weighted random-effects meta-analysis with the DerSimonian-Laird estimator were conducted based on model type, dataset characteristics, and temporal modeling.Ten studies involving approximately 500,000 ICU admissions were included. AI-based models demonstrated higher discriminative performance than conventional scoring systems, with reported AUC values ranging from 0.83 to 0.97 and ΔAUC ranging from 0.04 to 0.19. Eight studies contributed to the quantitative diagnostic test accuracy synthesis, yielding a pooled sensitivity of 0.845 (95% CI: 0.815-0.871) and a pooled specificity of 0.791 (95% CI: 0.728-0.843). Subgroup analyses demonstrated progressively higher pooled AUC values among tree-based/ensemble and deep learning models compared with classical machine learning (ML) approaches. Temporal and longitudinal models demonstrated pooled performance comparable to static variable-based models, while single-center cohorts demonstrated higher pooled AUC values than multicenter datasets. Calibration reporting was heterogeneous and not suitable for quantitative synthesis.Overall, AI-based models show improved discriminative performance for mortality prediction in critically ill patients; however, substantial heterogeneity in study design, validation methodology, and reporting standards highlights the need for further external validation before routine clinical implementation.

There is a peculiar comfort in Delhi’s summer nights, not despite the heat, but because of it. The city feels stripped of pretence. You stop fighting the weather. You stop rushing.

The €550,000 Ferrari Luce is the Italian brand’s first fully electric vehicle and its first five-seater, marking a major gamble on the future of luxury EVs.

India’s largest carmaker introduces cost-saving measures as rising oil prices and pressure on foreign exchange reserves push companies to cut fuel consumption.

The shift from PCOS to PMOS highlights the condition's wider impact on the body, including potential eye complications linked to hormonal and metabolic changes.

Set amid Chanakyapuri’s amaltas-lined avenues, BOYA combines nature, elegant dining and thoughtfully crafted cuisine, making it one of the most distinctive places to eat in Delhi.

At a parliamentary panel meeting on the NEET controversy, Digvijaya Singh expressed faith in Prime Minister Narendra Modi and the system ahead of the June 21 re-test. Members then pressed for leak-proof safeguards and steps to reassure students and parents.

The Great Nicobar Project: A Classic Dilemma Between Strategic Need And Human Preservation